Principal Applied Science Manager, Excel Team

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
1 day ago
Freshness
Confirmed live today
Closes
Apr 4, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k
This role $209k
$127k most similar roles pay here $291k

This role pays less than 54% of similar roles. Most pay $180,500–$248,628 — the shaded band above. At the midpoint, this role pays about $209k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 599 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 564 roles with salary data.

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At a glance

TL;DR · Principal Applied Science Manager, Excel Team

The Principal Applied Science Manager - Excel Team leads a team of applied scientists to architect, design, and deliver AI-powered experiences for Microsoft Excel. This technical leadership role involves managing people while remaining a hands-on builder who contributes to prototyping, experimentation, and production deployment. You will set the scientific direction for agentic AI and evaluation systems, translating customer needs into machine learning, large language models, retrieval, and program synthesis problems. Key responsibilities include driving projects from concept to release, establishing rigorous evaluation frameworks using offline metrics and human evaluation, and curating datasets for modeling. You will apply state-of-the-art techniques in deep learning and agent orchestration to solve real-world usage patterns and product failure modes, ensuring high-quality, reliable, and low-latency intelligent systems for productivity applications.

What you'll do

  • Lead and mentor a high-performing team of applied scientists to deliver AI-powered experiences for Microsoft Excel.
  • Own the end-to-end scientific direction for agentic AI, from initial prototyping to production deployment.
  • Translate customer needs and product scenarios into specific machine learning, LLM, and retrieval problems.
  • Drive projects from concept through implementation, experimentation, and successful release to global customers.
  • Design and maintain rigorous evaluation frameworks using offline metrics, human evaluation, and real-world telemetry.
  • Oversee the preparation, curation, and quality assessment of datasets used for modeling and experimentation.
  • Maintain a hands-on approach by contributing directly to technical design, prototyping, and production readiness.
  • Establish high scientific bars for model quality, reliability, safety, latency, and cost.

What we're looking for

  • Bachelor's degree with 6+ years experience, Master's with 4+ years, or Doctorate with 3+ years in a quantitative or engineering field.
  • Equivalent experience to the degree and years of experience requirements.
  • At least 1 year of people management experience.
  • Ability to pass the Microsoft Cloud background check.
  • 4+ years of experience applying machine learning techniques and driving end-to-end AI product development (preferred).
  • 3+ years of experience working with large language models (preferred).
  • 3+ years of experience managing a data science or applied science team with 5 or more direct reports (preferred).
  • Experience shipping internet-scale, low-latency, highly available intelligent systems (preferred).

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